第六类数据库项目:来自美国怀俄明州斯威特沃特县的钻井干测试数据
Abdeldjalil Latrach1,2, Lily J Jackson2, Christian Martinez2,3
1Energy and Petroleum Engineering Department, University of Wyoming, Laramie, WY, USA.
Data in brief
|June 23, 2025
概括
一个新的数字数据集,包含来自怀俄明州的336个传统钻井干测试 (DST).
科学领域:
- 地质科学是地球科学.
- 石油工程是石油工程中的一个.
- 碳封存是一种碳封存技术.
背景情况:
- 传统的钻井干测试 (DST) 数据对于了解地下水库特性至关重要.
- 数字化和分析历史的DST报告增强了地下特征.
- 大绿河流域对能源资源和碳储存有很大的潜力.
研究的目的:
- 创建一个全面的数字数据集的遗留DST报告.
- 提供数字化原始时间序列数据和计算的现场储压力.
- 支持VI类碳储存井应用和更广泛的地下评估.
主要方法:
- 从怀俄明州斯威特沃特县的192个井收集和数字化了336份遗留的DST报告.
- 应用了霍纳的分析,从原始 DST 时间序列数据计算现场水库压力.
- 包括井API号码,位置,构造,深度间隔和详细的测试结果.
主要成果:
- 一个数字数据集,包含DST时间序列的原始数据和计算的水库压力.
- 关于流量和关闭周期的详细信息,包括时间和压力数据.
- 对于区域压力分析和水库模型验证而言,这是一个有价值的资源.
结论:
- 创建的数据集大大帮助了碳储存的VI类提交流程.
- 该数据集对传统的石油和天然气,地热能和地下特征有广泛的适用性.
- 促进大绿河流域资源评估和地下理解的增强.
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